Microsoft Agent Framework ranks #7 of 16 in our ai agent frameworks testing. the ga successor that merged autogen and semantic kernel.
81/100
the official convergence of autogen and semantic kernel — 1.0 ga, the only serious first-class .net agent framework — but young as a merged product and heavy on azure gravity.
why people look for an alternative
−young as a merged product
−heavy microsoft/azure gravity
−predecessors' churn muddies the migration story
stay with Microsoft Agent Framework if only serious first-class .net agent framework is the thing you care about most — nothing below beats it on that.
#1 in ai agent frameworks · the most production-proven stateful-agent runtime
92/100
verdictthe thing serious teams build on: a low-level graph runtime with real durability and human-in-the-loop, 1.0-stable, and proven at production scale. steeper to learn, but it earns it.
LangGraph vs Microsoft Agent Framework
Microsoft Agent Framework
LangGraph
price
free — MIT (open source)
free — MIT (open source)
free tier
yes
yes
language
python + .net
python + js/ts
core abstraction
agent + workflow orchestration
graph / state machine
license
MIT
MIT
durable execution
azure-backed
yes (checkpointers)
provider lock-in
multi-provider (azure-deepest)
cross-provider
switch forteams that need durable state, human-in-the-loop and fine-grained control
pros
+genuine durable state, hitl and retries via checkpointers
#2 in ai agent frameworks · minimal, clean and production-ready — despite the name
89/100
verdictthe productionised successor to swarm: a tight event-loop with handoffs, guardrails and built-in tracing that ships fast and reads cleanly. thinner on durability than langgraph, but you can bolt temporal on.
OpenAI Agents SDK vs Microsoft Agent Framework
Microsoft Agent Framework
OpenAI Agents SDK
price
free — MIT (open source)
free — MIT (open source)
free tier
yes
yes
language
python + .net
python + typescript
core abstraction
agent + workflow orchestration
event loop + handoffs
license
MIT
MIT
durable execution
azure-backed
via temporal integration
provider lock-in
multi-provider (azure-deepest)
cross-provider
switch forteams that want a small, readable agent sdk with built-in tracing
#3 in ai agent frameworks · type-safe agents from the team that validates half of python ai
88/100
verdictthe type-safety pick: v1-stable, native temporal durable execution and opentelemetry built in, from the team whose library underpins most python ai. younger multi-agent story than the leaders.
Pydantic AI vs Microsoft Agent Framework
Microsoft Agent Framework
Pydantic AI
price
free — MIT (open source)
free — MIT (open source)
free tier
yes
yes
language
python + .net
python
core abstraction
agent + workflow orchestration
typed agent + graph
license
MIT
MIT
durable execution
azure-backed
yes (native temporal)
provider lock-in
multi-provider (azure-deepest)
cross-provider
switch forpython teams that want typed, validated agent outputs and clean observability
pros
+best type-safety and structured outputs in python
+v1 stable with native temporal durable execution
+opentelemetry/logfire tracing and first-class mcp
#4 in ai agent frameworks · code-first, ga, enterprise deploy — with gemini gravity
86/100
verdicta clean, ga code-first framework with strong multi-agent orchestration and a real enterprise deploy story on vertex — model-agnostic via litellm, but at its best on gemini and gcp.
Google ADK vs Microsoft Agent Framework
Microsoft Agent Framework
Google ADK
price
free — MIT (open source)
free — Apache-2.0 (open source)
free tier
yes
yes
language
python + .net
python + java
core abstraction
agent + workflow orchestration
agent + workflow agents
license
MIT
Apache-2.0
durable execution
azure-backed
via vertex agent engine
provider lock-in
multi-provider (azure-deepest)
model-agnostic (litellm)
switch forteams building multi-agent systems that will deploy on google cloud
#5 in ai agent frameworks · the exact harness that runs claude code, as a library
85/100
verdictthe best-in-class tool-using autonomous loop, because it's literally what runs claude code — with context management no one else matches. the trade-off is deliberate: claude-only.
Claude Agent SDK vs Microsoft Agent Framework
Microsoft Agent Framework
Claude Agent SDK
price
free — MIT (open source)
free — MIT (open source)
free tier
yes
yes
language
python + .net
python + typescript
core abstraction
agent + workflow orchestration
autonomous tool loop
license
MIT
MIT
durable execution
azure-backed
context mgmt, not durable state
provider lock-in
multi-provider (azure-deepest)
claude-only
switch forautonomous agents that use files, commands and code with long-running context
pros
+unmatched for file/command/code-using autonomous agents
#6 in ai agent frameworks · the fastest 'team of agents' mental model, now standalone
83/100
verdictthe most intuitive role-based framework, now free of its old langchain dependency, with flows for when you need determinism. great ergonomics; fine-grained control is the newer part.
CrewAI vs Microsoft Agent Framework
Microsoft Agent Framework
CrewAI
price
free — MIT (open source)
free — MIT (open source)
free tier
yes
yes
language
python + .net
python
core abstraction
agent + workflow orchestration
role-based crews + flows
license
MIT
MIT
durable execution
azure-backed
flow persistence
provider lock-in
multi-provider (azure-deepest)
cross-provider
switch forteams that think naturally in roles and want agents collaborating on tasks
pros
+fastest role-based 'team of agents' model
+now standalone — dropped the langchain dependency
+large community; flows add deterministic control
cons
−autonomous crews hard to make deterministic at scale
−fine-grained control lives in newer flows
−durability weaker than langgraph/temporal-backed tools
#8 in ai agent frameworks · model-driven, ga, and already running inside aws services
80/100
verdicta clean, model-driven framework that's genuinely production-used inside aws, ga at 1.0 with four multi-agent primitives — model-agnostic, but with the expected aws pull.
AWS Strands Agents vs Microsoft Agent Framework
Microsoft Agent Framework
AWS Strands Agents
price
free — MIT (open source)
free — Apache-2.0 (open source)
free tier
yes
yes
language
python + .net
python + typescript
core abstraction
agent + workflow orchestration
model-driven loop
license
MIT
Apache-2.0
durable execution
azure-backed
remote session manager
provider lock-in
multi-provider (azure-deepest)
model-agnostic
switch foraws-centric teams that want a model-first loop with native multi-agent primitives
pros
+genuinely production-used inside aws services
+ga 1.0 with four native multi-agent primitives
+model-agnostic — swap backends without code changes
#9 in ai agent frameworks · the right pick when the agent is rag- and data-heavy
78/100
verdictan event-driven, 1.0-stable workflow runtime sitting on the strongest rag stack — the natural choice when retrieval, not orchestration, is the hard part of your agent.
LlamaIndex Workflows vs Microsoft Agent Framework
Microsoft Agent Framework
LlamaIndex Workflows
price
free — MIT (open source)
free — MIT (open source)
free tier
yes
yes
language
python + .net
python + typescript
core abstraction
agent + workflow orchestration
event-driven steps
license
MIT
MIT
durable execution
azure-backed
workflow persistence
provider lock-in
multi-provider (azure-deepest)
cross-provider
switch foragents whose core job is retrieval over your own data
#10 in ai agent frameworks · fast, full-stack, now framework-agnostic — after a churny v2
76/100
verdicta high-performance, batteries-included library with a genuinely novel framework-agnostic runtime — but the breaking v2 rewrite and the phidata rename hurt its stability story.
Agno vs Microsoft Agent Framework
Microsoft Agent Framework
Agno
price
free — MIT (open source)
free — Apache-2.0 (open source)
free tier
yes
yes
language
python + .net
python
core abstraction
agent + workflow orchestration
agent + team + agentos
license
MIT
Apache-2.0
durable execution
azure-backed
agentos runtime
provider lock-in
multi-provider (azure-deepest)
cross-provider
switch forteams wanting a fast, batteries-included runtime that can host other frameworks' agents
pros
+very fast, batteries-included
+novel framework-agnostic agentos runtime
+teams and workflows for multi-agent
cons
−v2 was a breaking rewrite requiring migration
−phidata rename plus v2 churn hurt stability perception
#11 in ai agent frameworks · the most complete typescript-native agent framework
75/100
verdictthe batteries-included choice for typescript: workflows with suspend/resume, memory, evals and a dev playground, with excellent dx. younger and smaller than the python leaders.
Mastra vs Microsoft Agent Framework
Microsoft Agent Framework
Mastra
price
free — MIT (open source)
free — Apache-2.0 core
free tier
yes
yes
language
python + .net
typescript
core abstraction
agent + workflow orchestration
agent + workflow
license
MIT
Apache-2.0 core (+ commercial ee/)
durable execution
azure-backed
workflow suspend/resume
provider lock-in
multi-provider (azure-deepest)
cross-provider
switch fortypescript teams that want agents, workflows, memory and evals in one place
pros
+most complete typescript-first agent framework
+workflows with suspend/resume, memory and evals
+excellent developer experience and dev playground
every tool on this page went through the same test as Microsoft Agent Framework — same tasks, same order, scored the same way. the comparison tables are the figures from that testing, not vendor spec sheets.